Literature DB >> 15937784

Correctly estimating how environmental stochasticity influences fitness and population growth.

Daniel F Doak1, William F Morris, Cathy Pfister, Bruce E Kendall, Emilio M Bruna.   

Abstract

Increased temporal variance in life-history traits is generally predicted to decrease individual fitness and population growth. We show that a widely used result of stochastic sensitivity analysis that bolsters this generality is flawed because it ignores the effects of correlations between vital rates. Considering the effects of these correlations (although ignoring autocorrelations), we show that the apparently simple relationship between vital rate variance and fitness can be considerably more complex than previously thought. In particular, the previously estimated negative sensitivities of fitness or population growth to variance in a vital rate can be either enhanced by positive correlations between rates or reversed by negative correlations, even to the point that variability in a rate can increase fitness or population growth. We apply this new sensitivity calculation to data from the desert tortoise and discuss its interpretation in light of the factors generating vital rate correlations.

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Year:  2005        PMID: 15937784     DOI: 10.1086/430642

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  15 in total

1.  Synergy of multiple partners, including freeloaders, increases host fitness in a multispecies mutualism.

Authors:  Todd M Palmer; Daniel F Doak; Maureen L Stanton; Judith L Bronstein; E Toby Kiers; Truman P Young; Jacob R Goheen; Robert M Pringle
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-20       Impact factor: 11.205

Review 2.  Evolutionary bet-hedging in the real world: empirical evidence and challenges revealed by plants.

Authors:  Dylan Z Childs; C J E Metcalf; Mark Rees
Journal:  Proc Biol Sci       Date:  2010-06-23       Impact factor: 5.349

3.  On anti-portfolio effects in science and technology with application to reaction kinetics, chemical synthesis, and molecular biology.

Authors:  Marcel O Vlad; Alexandru Dan Corlan; Vlad T Popa; John Ross
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-14       Impact factor: 11.205

4.  Periodic catastrophes over human evolutionary history are necessary to explain the forager population paradox.

Authors:  Michael D Gurven; Raziel J Davison
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-10       Impact factor: 11.205

5.  Low demographic variability in wild primate populations: fitness impacts of variation, covariation, and serial correlation in vital rates.

Authors:  William F Morris; Jeanne Altmann; Diane K Brockman; Marina Cords; Linda M Fedigan; Anne E Pusey; Tara S Stoinski; Anne M Bronikowski; Susan C Alberts; Karen B Strier
Journal:  Am Nat       Date:  2010-11-30       Impact factor: 3.926

6.  Building integral projection models with nonindependent vital rates.

Authors:  Yik Leung Fung; Ken Newman; Ruth King; Perry de Valpine
Journal:  Ecol Evol       Date:  2022-03-21       Impact factor: 2.912

7.  Sensitivity analysis on the declining population in Japan: Effects of prefecture-specific fertility and interregional migration.

Authors:  Ryo Oizumi; Hisashi Inaba; Takenori Takada; Youichi Enatsu; Kensaku Kinjo
Journal:  PLoS One       Date:  2022-09-14       Impact factor: 3.752

8.  Jensen's Inequality and the Impact of Short-Term Environmental Variability on Long-Term Population Growth Rates.

Authors:  Evan J Pickett; David L Thomson; Teng A Li; Shuang Xing
Journal:  PLoS One       Date:  2015-09-09       Impact factor: 3.240

9.  An integrated modeling approach to estimating Gunnison sage-grouse population dynamics: combining index and demographic data.

Authors:  Amy J Davis; Mevin B Hooten; Michael L Phillips; Paul F Doherty
Journal:  Ecol Evol       Date:  2014-10-22       Impact factor: 2.912

10.  Population Trend and Elasticities of Vital Rates for Steller Sea Lions (Eumetopias jubatus) in the Eastern Gulf of Alaska: A New Life-History Table Analysis.

Authors:  John M Maniscalco; Alan M Springer; Milo D Adkison; Pamela Parker
Journal:  PLoS One       Date:  2015-10-21       Impact factor: 3.240

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